/**
 * Copyright 2022 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#ifndef MINDSPORE_LITE_SRC_RUNTIME_PASS_RUNTIME_OPTIMIZER_H_
#define MINDSPORE_LITE_SRC_RUNTIME_PASS_RUNTIME_OPTIMIZER_H_

#include <vector>
#include <memory>
#include "src/litert/sub_graph_kernel.h"

namespace mindspore::lite::pass {
class RuntimePass {
 public:
  RuntimePass() = default;
  virtual ~RuntimePass() = default;
  virtual int Run(kernel::SubGraphKernel *subgraph, std::vector<Tensor *> *tensors) = 0;
};

using RuntimePassPtr = std::shared_ptr<RuntimePass>;
class RuntimeOptimizer {
 public:
  RuntimeOptimizer() = default;

  virtual ~RuntimeOptimizer();

  int AddPass(RuntimePassPtr pass);

  int Run(kernel::SubGraphKernel *subgraph, std::vector<Tensor *> *tensors);

 private:
  std::vector<RuntimePassPtr> passes_;
};
}  // namespace mindspore::lite::pass
#endif  // MINDSPORE_LITE_SRC_RUNTIME_PASS_RUNTIME_OPTIMIZER_H_
